Ex vivo modelling of human colorectal cancer liver metastasis using normothermic machine perfusion

Published 2025 | Version v2

Dataset Open

1. (Department of Internal Medicine V, Hematology and Oncology, and Tyrolean Cancer Research Institute (TKFI), Medical University of Innsbruck, Innsbruck, Austria)
2. Department of Internal Medicine V, Hematology and Oncology, and Tyrolean Cancer Research Institute (TKFI), Medical University of Innsbruck, Innsbruck, Austria
3. Department of Visceral, Transplant and Thoracic Surgery, Center of Operative Medicine, organLife Laboratory and D. Swarovski Research Laboratory, Medical University of Innsbruck, Innsbruck, Austria
4. Department of Internal Medicine V, Hematology and Oncology, Comprehensive Cancer Center Innsbruck (CCCI), Austrian Comprehensive Cancer Network (ACCN) and Tyrolean Cancer Research Institute (TKFI), Medical University of Innsbruck, Innsbruck, Austria
5. Tyrolpath Obrist Brunhuber GmbH, Zams, Austria
6. Innsbruck Medical University
7. Tirol Kliniken
8. Innpath Institute of Pathology, Tirol Kliniken, Innsbruck, Austria
9. Institute of General Pathology, Medical University Innsbruck, Innsbruck, Austria
10. Biocenter, Institute of Bioinformatics, Medical University of Innsbruck, Innsbruck, Austria

1. Department of Internal Medicine V, Hematology and Oncology, and Tyrolean Cancer Research Institute (TKFI), Medical University of Innsbruck, Innsbruck, Austria

This archive contains input data, environment yml files as well as all results related to the single-cell RNA-seq analysis from the paper:

Trebo, Maurer, Krendl, Salcher, et al. (2025). Ex vivo modelling of human colorectal cancer liver metastasis using normothermic machine perfusion

In particular, it contains the following files

data.zip: h5ad file with processed scRNA-seq and ST data
Analysis.zip: executed jupyter notebooks as html to recapitulate analysis steps
environments.zip: YAML files for the conda environments used for Analysis

Files

Name	Size	Download all
Analysis.zip md5:d017be8d1530866855e43c3ef756679a	455.3 MB	Preview Download
data.zip md5:dd8885428162d717b8f9486f658d451f	1.0 GB	Preview Download
environments.zip md5:fd9996ccf15bc7b395e0fe6231405aca	14.9 kB	Preview Download